Google: Gemini 3.1 Pro Preview (batch)
Analysis Summary
Google's Gemini 3.1 Pro Preview supports text, image, file, audio, and video input, alongside vision, tool use, and function calling. Its 1M-token context window is the strongest practical feature in the supplied metadata, enabling large document sets, media-rich research, and extensive code or knowledge repositories. Pricing is positioned above the cheaper Flash configurations.
This makes it a strong candidate for multimodal analysis, long-document processing, research workflows, and agents that need to combine several input types. The preview status and absence of separate benchmark data are important limitations, since consistency and operational behaviour are not established here. Use it for controlled experiments and long-context tasks, not untested high-stakes automation.
Assessed August 9, 2026
Editorial notes
Gemini 3.1 Pro Preview offers a 1M-token context, vision, audio and video input, tool use, and function calling for multimodal workflows. As a preview batch variant without separate benchmarks, production reliability remains unverified.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3.1 Pro Preview offers a 1M-token context, vision, audio and video input, tool use, and function calling for multimodal workflows. As a preview batch variant without separate benchmarks, production reliability remains unverified.
How Google: Gemini 3.1 Pro Preview (batch) compares
Google: Gemini 3.1 Pro Preview (batch) ranks #31 of 420 AI models we track for overall intelligence, #27 of 193 for coding, #73 of 175 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $1.00 per million input tokens it is cheaper than 28% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.00 | $0.001000 |
| Output | $6.00 | $0.006000 |
What would Google: Gemini 3.1 Pro Preview (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.1 Pro Preview (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.1 Pro Preview (batch)
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation..
Frequently asked questions about Google: Gemini 3.1 Pro Preview (batch)
How much does Google: Gemini 3.1 Pro Preview (batch) cost?
Google: Gemini 3.1 Pro Preview (batch) costs $1.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Google: Gemini 3.1 Pro Preview (batch)?
Google: Gemini 3.1 Pro Preview (batch) has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.1 Pro Preview (batch) good for coding?
On our coding benchmark index, Google: Gemini 3.1 Pro Preview (batch) ranks #27 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.1 Pro Preview (batch) do?
Google: Gemini 3.1 Pro Preview (batch) supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.1 Pro Preview (batch)?
Google: Gemini 3.1 Pro Preview (batch) is developed by Google and was released on February 19, 2026.
